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Glossary

What is Data Verification?

Data verification is the process to ensure that the data gathered is as accurate as possible and minimizes instrument and human errors, including those that take place during data processing. Data collecting should be the first step in a continuous process that also includes data entry and analysis.

Various Types of Data Verification


Well, there are two main types of data verification that are mentioned below. So, let’s have a look at them!

1. Full Data Verification:


Full data verification refers to the process of checking complete data.

2. Sampling Data Verification:

Sampling data verification refers to the process of checking a small sample of data.

What is the Importance of Data Verification?

These days, you can learn a lot more in-depth information about a customer, including their demographics, preferences, website browsing history, social media accounts, and more.


There are several opportunities available with all of this knowledge. However, to what extent customer data is beneficial varies widely among businesses in various industries and markets. For instance, a store is more likely to collect and exploit customer contact information from social networking sites. On the other hand, a B2B manufacturing company is more interested in the revenue and sector of its customer accounts.


The most essential components of a contact record in any company with clients are postal addresses, email addresses, and phone numbers. The consequences for businesses that receive and store inaccurate postal addresses, email addresses, and phone numbers can be severe if these three pieces of information are erroneous. 

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